Results 41 to 50 of about 917,002 (254)

Multisensory Causal Inference in the Brain [PDF]

open access: yesPLOS Biology, 2015
At any given moment, our brain processes multiple inputs from its different sensory modalities (vision, hearing, touch, etc.). In deciphering this array of sensory information, the brain has to solve two problems: (1) which of the inputs originate from the same object and should be integrated and (2) for the sensations originating from the same object,
Kayser, Christoph, Shams, L.
openaire   +7 more sources

Implementing Causal Inference in Ecology Through the Structural Causal Model (SCM) Framework

open access: yes, 2022
Ecologists are often interested in understanding causal relationships from ecological data. However, developed methods for causal inference, particularly for observational-based studies are often not taught or applied in ecology.
Arif, Suchinta
core  

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

Interventional Approach for Path-Specific Effects

open access: yesJournal of Causal Inference, 2017
Standard causal mediation analysis decomposes the total effect into a direct effect and an indirect effect in settings with only one single mediator.
Lin Sheng-Hsuan, VanderWeele Tyler
doaj   +1 more source

Causal Inference with Deep Causal Graphs

open access: yesCoRR, 2020
Supplementary material can be found in https://github.com/aparafita/dcg ...
Álvaro Parafita, Jordi Vitrià
openaire   +3 more sources

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben   +4 more
wiley   +1 more source

Principal Stratification in Causal Inference [PDF]

open access: yesBiometrics, 2002
Summary. Many scientific problems require that treatment comparisons be adjusted for posttreatment variables, but the estimands underlying standard methods are not causal effects. To address this deficiency, we propose a general framework for comparing treatments adjusting for posttreatment variables that yields principal effects based on principal ...
Frangakis, Constantine E.   +1 more
openaire   +2 more sources

A Kernel-Based Metric for Balance Assessment

open access: yesJournal of Causal Inference, 2018
An important goal in causal inference is to achieve balance in the covariates among the treatment groups. In this article, we introduce the concept of distributional balance preserving which requires the distribution of the covariates to be the same in ...
Zhu Yeying   +2 more
doaj   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk   +10 more
wiley   +1 more source

Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction

open access: yesJournal of Causal Inference, 2019
Often the research interest in causal inference is on the regression causal effect, which is the mean difference in the potential outcomes conditional on the covariates. In this paper, we use sufficient dimension reduction to estimate a lower dimensional
Luo Wei, Wu Wenbo, Zhu Yeying
doaj   +1 more source

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